Jin Szatkiewicz

19.8k total citations
30 papers, 321 citations indexed

About

Jin Szatkiewicz is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Jin Szatkiewicz has authored 30 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 15 papers in Molecular Biology and 4 papers in Plant Science. Recurrent topics in Jin Szatkiewicz's work include Genomic variations and chromosomal abnormalities (15 papers), Genomics and Rare Diseases (10 papers) and Genetic Associations and Epidemiology (8 papers). Jin Szatkiewicz is often cited by papers focused on Genomic variations and chromosomal abnormalities (15 papers), Genomics and Rare Diseases (10 papers) and Genetic Associations and Epidemiology (8 papers). Jin Szatkiewicz collaborates with scholars based in United States, Sweden and United Kingdom. Jin Szatkiewicz's co-authors include Patrick F. Sullivan, Eleanor Feingold, Karen T. Cuenco, James J. Crowley, Wei Wang, Wei Sun, Patrik K. E. Magnusson, Weibo Wang, Robert E. Ferrell and Daniel E. Weeks and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and American Journal of Psychiatry.

In The Last Decade

Jin Szatkiewicz

27 papers receiving 318 citations

Peers

Jin Szatkiewicz
Alisha Wilkens United States
Sophie Hackinger United Kingdom
Syed K. Rafi United States
Diane Hu‐Lince United States
Craig Chinault United States
Dean Phelan Australia
Shashidhar Pai United States
Alisha Wilkens United States
Jin Szatkiewicz
Citations per year, relative to Jin Szatkiewicz Jin Szatkiewicz (= 1×) peers Alisha Wilkens

Countries citing papers authored by Jin Szatkiewicz

Since Specialization
Citations

This map shows the geographic impact of Jin Szatkiewicz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Szatkiewicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Szatkiewicz more than expected).

Fields of papers citing papers by Jin Szatkiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Szatkiewicz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Szatkiewicz. The network helps show where Jin Szatkiewicz may publish in the future.

Co-authorship network of co-authors of Jin Szatkiewicz

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Szatkiewicz. A scholar is included among the top collaborators of Jin Szatkiewicz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Szatkiewicz. Jin Szatkiewicz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Song, Jie, Shuyang Yao, Kaarina Kowalec, et al.. (2022). The impact of educational attainment, intelligence and intellectual disability on schizophrenia: a Swedish population-based register and genetic study. Molecular Psychiatry. 27(5). 2439–2447. 12 indexed citations
2.
Farrell, Martilias S., Rita A. Shaughnessy, James J. Crowley, et al.. (2022). Increased Prevalence of Rare Copy Number Variants in Treatment-Resistant Psychosis. Schizophrenia Bulletin. 49(4). 881–892. 14 indexed citations
3.
Halvorsen, Matthew, Ruth Huh, Nikolay Oskolkov, et al.. (2020). Increased burden of ultra-rare structural variants localizing to boundaries of topologically associated domains in schizophrenia. Nature Communications. 11(1). 1842–1842. 42 indexed citations
4.
Farrell, Martilias S., James J. Crowley, Gabriel Lázaro‐Muñoz, et al.. (2020). Treatment-resistant psychotic symptoms and the 15q11.2 BP1–BP2 (Burnside-Butler) deletion syndrome: case report and review of the literature. Translational Psychiatry. 10(1). 42–42. 10 indexed citations
5.
West, Rachel Marceau, Chuhsing Kate Hsiao, Tzu-Hung Hsiao, et al.. (2020). Association test using Copy Number Profile Curves (CONCUR) enhances power in rare copy number variant analysis. PLoS Computational Biology. 16(5). e1007797–e1007797. 1 indexed citations
6.
Szatkiewicz, Jin, James J. Crowley, Annelie Nordin Adolfsson, et al.. (2019). The genomics of major psychiatric disorders in a large pedigree from Northern Sweden. Translational Psychiatry. 9(1). 60–60. 11 indexed citations
7.
Szatkiewicz, Jin, Menachem Fromer, Randal J. Nonneman, et al.. (2019). Characterization of Single Gene Copy Number Variants in Schizophrenia. Biological Psychiatry. 87(8). 736–744. 9 indexed citations
8.
Crowley, James J., Jin Szatkiewicz, Anna K. Kähler, et al.. (2018). Common-variant associations with fragile X syndrome. Molecular Psychiatry. 24(3). 338–344. 6 indexed citations
9.
Sun, Wei, et al.. (2018). A randomized approach to speed up the analysis of large-scale read-count data in the application of CNV detection. BMC Bioinformatics. 19(1). 74–74. 1 indexed citations
10.
Wang, Weibo, Wei Wang, Wei Sun, James J. Crowley, & Jin Szatkiewicz. (2015). Allele-specific copy-number discovery from whole-genome and whole-exome sequencing. Nucleic Acids Research. 43(14). e90–e90. 10 indexed citations
11.
Tzeng, Jung‐Ying, Patrik K. E. Magnusson, Patrick F. Sullivan, & Jin Szatkiewicz. (2015). A New Method for Detecting Associations with Rare Copy-Number Variants. PLoS Genetics. 11(10). e1005403–e1005403. 10 indexed citations
12.
Szatkiewicz, Jin, Benjamin M. Neale, Menachem Fromer, et al.. (2013). Detecting large copy number variants using exome genotyping arrays in a large Swedish schizophrenia sample. Molecular Psychiatry. 18(11). 1178–1184. 21 indexed citations
13.
Crowley, James J., Yunjung Kim, Jin Szatkiewicz, et al.. (2011). Genome-wide association mapping of loci for antipsychotic-induced extrapyramidal symptoms in mice. Mammalian Genome. 23(5-6). 322–335. 28 indexed citations
14.
Jeon, Che Ok, Jongmyung Kim, Seung Hyun Han, et al.. (2010). Functional investigation of residue G791 of Escherichia coli 16S rRNA: implication of initiation factor 1 in the restoration of P-site function. FEMS Microbiology Letters. 313(2). 141–147. 1 indexed citations
15.
Casselbrant, Margaretha L., Ellen M. Mandel, Jeesun Jung, et al.. (2009). Otitis media: a genome-wide linkage scan with evidence of susceptibility loci within the 17q12 and 10q22.3 regions. BMC Medical Genetics. 10(1). 85–85. 29 indexed citations
16.
Szatkiewicz, Jin & Eleanor Feingold. (2004). A Powerful and Robust New Linkage Statistic for Discordant Sibling Pairs. The American Journal of Human Genetics. 75(5). 906–909. 6 indexed citations
17.
Kuo, Annie, et al.. (2004). Comparability of ocular surface staining by Lissamine Green–impregnated strip and 1% Lissamine Green solution in dry eye patients. Investigative Ophthalmology & Visual Science. 45(13). 81–81. 1 indexed citations
18.
Kuo, Annie, et al.. (2004). Comparability and reproducibility of evaluation of ocular surface staining in dry eye patients.. Investigative Ophthalmology & Visual Science. 45(13). 89–89. 1 indexed citations
19.
Cuenco, Karen T., Jin Szatkiewicz, & Eleanor Feingold. (2003). Recent Advances in Human Quantitative-Trait–Locus Mapping: Comparison of Methods for Selected Sibling Pairs. The American Journal of Human Genetics. 73(4). 863–873. 25 indexed citations
20.
Szatkiewicz, Jin, Karen T. Cuenco, & Eleanor Feingold. (2003). Recent Advances in Human Quantitative-Trait–Locus Mapping: Comparison of Methods for Discordant Sibling Pairs. The American Journal of Human Genetics. 73(4). 874–885. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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